Want to contribute to world-leading research in areas such as machine learning, computer vision, robot dynamics and control, micro- and nano-robotics, or haptics? Then sign up for the International Max Planck Research School for Intelligent Systems or IMPRS-IS now!
Michael Strecke received the DAGM Best Master's Thesis Award at this year's GCPR conference for his thesis "Sublabel-accurate Convex Relaxation with Total Generalized Variation Regularization" which he wrote at Universität Konstanz.
The German Association for Pattern Recognition praises her work to be “outstanding”
Tübingen – Dr. Siyu Tang received the DAGM MVTec 2018 Dissertation Award at the German Conference on Pattern Recognition (GCPR) conference in Stuttgart today. Her thesis with the title “People Detection and Tracking in Crowded Scenes” was praised by the board and the technical committee of the DAGM (Deutsche Arbeitsgemeinschaft für Mustererkennung) to be outstanding. “There was quite some competition this year”, said Reinhard Koch, the President of DAGM, which can be translated as German Association for Pattern Recognition. “This year we even decided to double the award money and grant two first places. Mrs. Tang will receive one of both. Congratulations for this achievement!” The award comes with a price money of 2.500 Euro and was given during the DAGM Award ceremony on Wednesday afternoon.
How do we perceive our own body weight? Which body weight do we find attractive?
An interdisciplinary team of scientists from the Max Planck Institute for Biological Cybernetics, the University of Tübingen and the Max Planck Institute for Intelligent Systems place test persons in front of their virtual selves and examine their self-perception. The aim of the studies is to investigate how accurately healthy women and men, incl. patients with anorexia nervosa, perceive their own body weight. The findings provide insights for new therapy approaches for people with eating disorders.
University of Tübingen and Max Planck Institute for Intelligent Systems Tübingen research robust learning algorithms
Tübingen is to receive a competence center for artificial intelligence and machine learning. This will make it one of four locations at which Germany’s Ministry of Education and Research plans to pool scientific projects in artificial intelligence. The Tübingen AI Center will provide research groups at the University and at the Max Planck Institute for Intelligent Systems with a place to develop learning systems. The Federal Ministry of Education and Research will sponsor the center with some 6.6 million euros for an initial four years, starting 1 October. Three other AI centers are to be set up in Berlin, Dortmund and Munich. The centers are to play a key role in the German government’s artificial intelligence development strategy.
Max Planck Institute for Intelligent Systems involved in four newly funded Clusters of Excellence in Stuttgart and Tübingen
The German national Excellence Strategy has decided which new Clusters of Excellence will be funded from 2019 onwards. On September 27, 2018, the panel of experts and the Science Ministers of the Federal Government and the States announced the selection of 57 research alliances as Clusters of Excellence. These winners were chosen from 88 full proposals and 195 original applications. The Max Planck Institute for Intelligent Systems (MPI-IS) was involved in four applications, all of which were selected for funding as Clusters of Excellence. In Stuttgart, MPI-IS scientists were directly involved in both of the successful proposals at the University of Stuttgart. In Tübingen, MPI-IS is involved in two of the University of Tübingen's three approved clusters.
AMD is one of three finalists for the Best Systems Paper
Our paper on “Real-time Perception meets Reactive Motion Generation” was considered for the 2018 Amazon Robotics Best Paper Awards in Manipulation. Amazon Robotics selected our paper as one of three Finalists for Best Systems Paper. They received so many high quality submissions and wanted to acknowledge your paper as one of the best.
We are looking for a PhD student working on interpretable representations.
This program is meant for doctoral candidates whose research interests are well matched to both the machine learning group in Cambridge (United Kingdom) and the MPI for Intelligent Systems in Tuebingen (Germany).